MARC details
| 000 -LEADER |
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| fixed length control field |
13056nam a22002537a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
210112b2014 a|||f mb|| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
EG-CaNU |
| Transcribing agency |
EG-CaNU |
| 041 0# - Language Code |
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| Language code of text |
eng |
| Language code of abstract |
eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
610 |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Mai Wael |
| 245 1# - TITLE STATEMENT |
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| Title |
Automatic interpretation for cardiac magnetic resonance images |
| Statement of responsibility, etc. |
Mai Wael |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Date of publication, distribution, etc. |
2014 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
77 p. |
| Other physical details |
ill. |
| Dimensions |
21 cm. |
| 500 ## - GENERAL NOTE |
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| Materials specified |
Supervisor: Ahmed Fahmy |
| 502 ## - Dissertation Note |
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| Dissertation type |
Thesis (M.A.)—Nile University, Egypt, 2014 . |
| 504 ## - Bibliography |
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| Bibliography |
"Includes bibliographical references" |
| 505 0# - Contents |
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| Formatted contents note |
Contents:<br/>Chapter 1 Introduction ............................................................................................ 1<br/>1. Introduction .................................................................................................................. 1<br/>2. Motivation and Challenges ............................................................................................ 3<br/>3. Objectives and Contribution .......................................................................................... 5<br/>4. Thesis Outlines ............................................................................................................. 5<br/>References ........................................................................................................................ 7<br/>Chapter 2 Background ............................................................................................ 8<br/>1. Human Heart................................................................................................................. 8<br/>1.1 Heart Anatomy ........................................................................................................ 8<br/>1.2 Heart Function ...................................................................................................... 10<br/>1.3 Cardiac Electrical Cycle ....................................................................................... 10<br/>1.4 Segmentation of the Left Ventricle ........................................................................ 11<br/>2. Cardiac Failure............................................................................................................ 12<br/>2.1 Ischemic heart disease .......................................................................................... 12<br/>2.2 Myocardial Infarction ............................................................................................ 12<br/>2.3 Cardiomyopathy ................................................................................................... 13<br/>2.4 Pulmonary Hypertension ....................................................................................... 14<br/>3. Medical Imaging ......................................................................................................... 15<br/>4. Magnetic Resonance Imaging (MRI) ........................................................................... 16<br/>4.1 MRI scanning process .......................................................................................... 16<br/>4.2 MRI benefits and limitations ................................................................................. 17<br/>5. Cardiac MRI ............................................................................................................... 17<br/>5.1 Cardiac imaging planes ......................................................................................... 17<br/>5.1.1 Long Axis plane .................................................................................... 18<br/>5.1.2 Short Axis plane .................................................................................... 19<br/>5.2 Cardiac imaging techniques ...................................................................................<br/>5.2.1 Steady-State Free Precession (SSFP) Cine Technique ............................ 19<br/>5.2.2 Tagged MRI .......................................................................................... 20<br/>5.2.3 Strain Encoded MRI (SENC) ................................................................. 21<br/>5.2.4 Perfusion MRI ....................................................................................... 22<br/>6. Digital Image Storage format ...................................................................................... 23<br/>6.1 Data Storage ......................................................................................................... 23<br/>6.2 Image formats ....................................................................................................... 23<br/>6.2.1 Digital Imaging and Communication in Medicine (DICOM) .................. 23<br/>DICOM file format .................................................................................... 24<br/>DICOM header .......................................................................................... 24<br/>6.2.2 Other image formats .............................................................................. 25<br/>JPEG (Joint Photographic Expert Guide) ................................................... 25<br/>TIFF (Tagged Image File Format) .............................................................. 25<br/>GIF (Graphical Interchange Format) .......................................................... 25<br/>PNG (Portable Networks Graphics) ........................................................... 25<br/>7. Automatic Interpretation of Medical Images ................................................................ 26<br/>7.1 Content Based Image Retrieval (CBIR) ................................................................. 26<br/>7.1.1 CBIR Techniques .................................................................................. 27<br/>Color ......................................................................................................... 27<br/>Texture ...................................................................................................... 27<br/>Shape ........................................................................................................ 27<br/>7.2 Computer Aided Diagnosis (CAD) ........................................................................ 26<br/>References ...................................................................................................................... 30<br/>Chapter 3 Classification of cardiac MRI image types .......................................... 33<br/>1. Introduction ................................................................................................................ 33<br/>2. Methodology ............................................................................................................... 34<br/>2.1 Classification Algorithm ....................................................................................... 34<br/>2.2 Extraction of feature vectors .................................................................................. 35<br/>2.3 Feature Classification ............................................................................................ 39<br/>2.4 Testing and Validation .......................................................................................... 40<br/>3. Results and Discussion ................................................................................................<br/>4. Conclusion .................................................................................................................. 41<br/>References ..................................................................................................................... 42<br/>Chapter 4 Texture based classification for cardiac MRI types and orientations 43<br/>1. Introduction ................................................................................................................ 43<br/>2. Methodology ............................................................................................................... 44<br/>2.1 Dataset .................................................................................................................. 44<br/>2.2 Preprocessing ........................................................................................................ 45<br/>2.3 Local Binary Pattern.............................................................................................. 46<br/>2.3.1 LBP derivation....................................................................................... 47<br/>2.4 Edge Orientation Histogram .................................................................................. 48<br/>2.5 Training and Similarity measurement .................................................................... 49<br/>3. Results and Discussion ................................................................................................ 49<br/>4. Conclusion .................................................................................................................. 51<br/>References ...................................................................................................................... 52<br/>Chapter 5 Detection of cardiac function abnormality using normalized wall<br/>thickness patterns .................................................................................................. 54<br/>1. Introduction ................................................................................................................ 54<br/>2. Method ....................................................................................................................... 56<br/>2.1 Dataset .................................................................................................................. 56<br/>2.2 Normalized Wall Thickness (NWT) ...................................................................... 57<br/>2.3 Feature Vectors and PCA ...................................................................................... 57<br/>2.4 Classification ........................................................................................................ 58<br/>2.5 Experiments .......................................................................................................... 59<br/>3. Results and Discussion ................................................................................................ 60<br/>4. Conclusion .................................................................................................................. 62<br/>References ............................................................................................................ 63<br/>Chapter 6 Summary and Future work ................................................................. |
| 520 3# - Abstract |
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| Abstract |
Abstract:<br/>The enormous increase in digital images, especially in medical field, acquired using<br/>different modalities and techniques, makes it necessary to develop tools and<br/>techniques that help and support dealing with the huge amount of the available data.<br/>The automatic interpretation of medical images is an active research aims to provide<br/>the necessary information to help the physician or the radiologist in his diagnosis.<br/>Content Based Image Retrieval (CBIR) and classification is the first part of the<br/>medical image interpretation, where recognition of such imaging modality or image<br/>acquisition technique will facilitate the data access. Besides that it is considered as the<br/>prerequisite for the second interpretation part, which called Computer Aided<br/>Diagnosis (CAD). The CAD objective is to provide a second opinion to the<br/>radiologist to help him in his diagnostic decision. Thus, CBIR with CAD represent a<br/>complete medical image interpretation system.<br/>In particular, Cardiac Magnetic Resonance Imaging (MRI) can provide thousands of<br/>images during one exam for one patient, with several cardiac orientations and<br/>different acquisition types to represent heart structure and function.<br/>In this thesis, we represent an automatic interpretation for cardiac MRI images. The<br/>proposed method starts by two approaches for automatic classification and retrieval<br/>for cardiac MRI different image types as cine, tagged, SENC, and perfusion MRI.<br/>First one is based on statistical features with a decision tree algorithm for<br/>classification. The second approach is based on a texture feature descriptor, namely,<br/>the Local Binary Pattern (LBP). This approach is to overcome the problem with the<br/>first one, where it may fail in case of intensity variations occurring across different<br/>machines.<br/>We also proposed classification and labeling algorithm for different orientations or<br/>cross sections of the heart as long axis and short axis views. The Edge Orientation<br/>Histogram (EOH) is used to extract the differences between the long axis and short<br/>axis views.<br/>Following that, assessment of the cardiac wall motion abnormalities is proposed. A<br/>novel feature is introduced to represent the regional wall motion variations in normal<br/>cases and in different diseases affect the myocardium. |
| 546 ## - Language Note |
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| Language Note |
Text in English, abstracts in English. |
| 650 #4 - Subject |
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| Subject |
Informatics-IFM |
| 655 #7 - Index Term-Genre/Form |
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| Source of term |
NULIB |
| focus term |
Dissertation, Academic |
| 690 ## - Subject |
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| School |
Informatics-IFM |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Thesis |
| 650 #4 - Subject |
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| -- |
266 |
| 655 #7 - Index Term-Genre/Form |
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187 |
| 690 ## - Subject |
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| -- |
266 |